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Machine Learning Quant Jobs in New Jersey (NOW HIRING)

Edgestream

Quantitative Software Engineer

Princeton, NJ · On-site

Job Title: Quantitative Software Engineer About Us Edgestream Partners is a team of scientists ... Experience building resilient, parallelized data transformation architectures for machine learning ...

Eliassen Group

Quant Developer

Jersey City, NJ · On-site

$80 - $90/hr

Apply machine learning techniques to time-series data including feature engineering, model training ... Translate quantitative and ML research into production-ready, resilient systems. * Integrate AI ...

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Machine Learning Quant information

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$53.3K

$121K

$199.5K

How much do machine learning quant jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning quant in New Jersey is $120,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $154,800.00 per year, depending on experience, location, and employer.

What is a machine learning quant?

A Machine Learning Quant is a specialist in quantitative finance who applies machine learning techniques to develop trading strategies, manage risk, and analyze financial data. They leverage statistical models, deep learning, and reinforcement learning to identify patterns in market data and optimize predictions. This role typically involves programming in Python or C++, working with large datasets, and collaborating with traders and researchers. Machine Learning Quants are employed by hedge funds, investment banks, and proprietary trading firms to gain a competitive edge in financial markets.

What are the key skills and qualifications needed to thrive as a machine learning quant?

To thrive as a Machine Learning Quant, you need strong skills in quantitative analysis, programming (often in Python or C++), statistical modeling, and a solid foundation in applied mathematics, typically supported by a degree in a quantitative field such as mathematics, physics, computer science, or engineering. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), financial data platforms, and certifications such as CFA or advanced degrees can be advantageous. Critical thinking, collaboration, and clear communication are key soft skills that enhance effectiveness in working with both technical and non-technical stakeholders. These competencies are crucial for building and validating models that inform high-stakes financial strategies and deliver value in fast-paced trading environments.

What are typical daily responsibilities for a machine learning quant in a financial firm?

As a Machine Learning Quant, your day often involves researching and developing predictive models using large financial datasets, backtesting quantitative strategies, and optimizing algorithms for speed and accuracy. You'll collaborate closely with traders, data engineers, and other quants to implement models in live trading environments and refine them based on performance feedback. Regular activities also include monitoring new data sources, adjusting to changes in the market, and documenting your methodologies for regulatory or team review. This multidisciplinary work environment offers the opportunity to continuously learn and directly impact trading outcomes.

What are the most commonly searched types of Machine Learning Quant jobs in New Jersey?

The most popular types of Machine Learning Quant jobs in New Jersey are:

What are popular job titles related to Machine Learning Quant jobs in New Jersey?

For Machine Learning Quant jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Machine Learning Quant jobs in New Jersey look for?

The top searched job categories for Machine Learning Quant jobs in New Jersey are:

Machine Learning Quant jobs near you
Infographic showing various Machine Learning Quant job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,981 per year, or $58.2 per hour.

Quantitative Software Engineer

Edgestream Partners, L.P.

Princeton, NJ • On-site

Full-time

Re-posted 3 days ago

Job description

Job Summary:
Edgestream Partners is a team of scientists, engineers, and investment professionals dedicated to developing quantitative models of financial markets. They are seeking a Quantitative Software Engineer to maintain and build machine learning tools and research infrastructure, supporting researchers in large-scale scientific experiments with market data.
Responsibilities:
• Maintain and build novel machine learning tools and research infrastructure.
• Support researchers in running large-scale scientific experiments with market data and alternative data sources.
Qualifications:
Required:
• A Bachelor's or Master's degree in Computer Science, Engineering, or a closely related field.
• Exceptional proficiency in programming (Python preferred) and software design.
• Strong analytical foundation, including familiarity with probability, statistics, and machine learning.
• Demonstrated experience utilizing quantitative software libraries such as numpy/pandas, scikit-learn, or equivalent packages.
• The ability to communicate effectively within a complex, highly technical, and collaborative team environment.
• A genuine intellectual curiosity and a passion for using technology to solve challenging problems.
Preferred:
• Deep familiarity with financial market data structures, including equities, futures, and FX datasets.
• Familiarity with numerical optimization techniques.
• Experience building resilient, parallelized data transformation architectures for machine learning and statistical analysis and reporting.
Company:
Edgestream Partners, L.P. ("Edgestream"​) is devoted to institutional investment management in an ever-changing world. Founded in 2003, the company is headquartered in Princeton, USA, with a team of 11-50 employees. The company is currently Early Stage.

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